Title :
Limitations on maximal tracking accuracy
Author :
Chen, Jie ; Qiu, Li ; Toker, Onur
Author_Institution :
Dept. of Electr. Eng., California Univ., Riverside, CA, USA
fDate :
2/1/2000 12:00:00 AM
Abstract :
This paper studies optimal tracking performance issues pertaining to finite-dimensional, linear, time-invariant feedback control systems. The problem under consideration amounts to determining the minimal tracking error between the output and reference signals of a feedback system, attainable by all possible stabilizing compensators. An integral square error criterion is used as a measure for the tracking error, and explicit expressions are derived for this minimal tracking error with respect to step reference signals. It is shown that plant nonminimum phase zeros have a negative effect on a feedback system´s ability to reduce the tracking error, and that in a multivariable system this effect results in a way depending on not only the zero locations, but also the zero directions. It is also shown that if unity feedback structure is used for tracking purposes, plant nonminimum phase zeros and unstable poles can together play a particularly detrimental role in the achievable tracking performance, especially when the zeros and poles are nearby and their directions are closely aligned. On the other hand, if a two parameter controller structure is used, the achievable tracking performance depends only on the plant nonminimum phase zeros
Keywords :
compensation; feedback; linear systems; multidimensional systems; optimal control; poles and zeros; stability; tracking; finite-dimensional linear time-invariant feedback control systems; integral square error criterion; maximal tracking accuracy limitations; minimal tracking error; multivariable system; optimal tracking performance; plant nonminimum phase zeros; stabilizing compensators; step reference signals; tracking error reduction; two-parameter controller structure; unity feedback structure; unstable poles; zeros; Automatic control; Control systems; Controllability; Multiprocessor interconnection networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Stability; Vehicle dynamics; Writing;
Journal_Title :
Automatic Control, IEEE Transactions on